measureR is an an R Shiny application for educational and
psychological measurement, including:
Content Validity (CV)
Exploratory Factor Analysis (EFA)
Confirmatory Factor Analysis (CFA)
Classical Test Theory (CTT)
Item Response Theory (IRT)
All analyses can be performed without writing any
code, making the package accessible for researchers, students,
and applied analysts.
Installation
# Install from CRAN (when available)install.packages("measureR")# Install development version from GitHub (optional)remotes::install_github("hdmeasure/measureR")
Launch the Application
library(measureR)run_measureR()
This opens the full Shiny application, including all LSA modules,
data upload, built-in datasets, interactive plots, and reporting
features.
Features
✔ Content Validity (CV)
Aiken’s V, CVR (Lawshe), I-CVI, and S-CVI/Ave computation.
Automatic critical value comparison and interpretation badges.
Clear tabular summaries and export-ready results.
✔ Exploratory Factor
Analysis (EFA)
KMO, Bartlett test, parallel analysis.
Factor extraction with rotation.
Factor scores and loading matrix export.
Clean HTML summaries for clearer interpretation.
✔ Confirmatory Factor
Analysis (CFA)
Lavaan model editor.
Fit measures, loadings, factor scores.
Fully customized SEM path diagrams.
✔ Classical Test Theory
(CTT)
Item difficulty and discrimination indices.
Test reliability (α), SEM, and score distribution analysis.
Distractor analysis for multiple-choice items.
Comprehensive item and test-level summary outputs.
